RDA is an international organization focused on reducing barriers to data sharing. It has over 6,100 members from 130 countries working to build social and technical bridges for open sharing of data. RDA develops infrastructure and holds working groups to tackle issues like standards, best practices, and data policies in order to accelerate data-driven innovation worldwide.

1. RDA in a nutshell
October 2017
WWW.RD-ALLIANCE.ORG - @RESDATALL
CC BY-SA 4.0

2. Vision
Researchers and innovators openly
share data across technologies,
disciplines, and countries to address
the grand challenges of society.
Mission
RDA builds the social and technical
bridges that enable open sharing of
data.
WWW.RD-ALLIANCE.ORG
@RESDATALL
CC BY-SA 4.0

3. What is RDA?
RDA is an international member based organization focused on the
development of infrastructure and community activities that reduce
barriers to data sharing and exchange, and the acceleration of data
driven innovation worldwide.
With more than 6,100 members globally representing 130 countries,
RDA includes researchers, scientists and data science professionals
working in multiple disciplines, domains and thematic fields and from
different types of organisations across the globe.
RDA is building the social and technical bridges that enable open sharing of
data to achieve its vision of researchers and innovators openly sharing data
across technologies, disciplines, and countries to address the grand challenges
of society.
rd-alliance.org/about-rda
WWW.RD-ALLIANCE.ORG
@RESDATALL
CC BY-SA 4.0

4. What does RDA do?
Members come together through self-formed, volunteer, focussed Working
Groups, exploratory Interest Groups to exchange knowledge, share
discoveries, discuss barriers and potential solutions, explore and define
policies and test as well as harmonise standards to enhance and facilitate
global data sharing & re-use.
RDA members collaborate together across the globe to tackle numerous
infrastructure & data sharing challenges related to:
Reproducibility
Data preservation
Best practices for domain
repositories
Legal interoperability
Data citation
Data type registries
Metadata
and so many more!
rd-alliance.org/about-rda
WWW.RD-ALLIANCE.ORG
@RESDATALL
CC BY-SA 4.0

5. Who Can Join RDA?
Any individual or organization, regardless of profession or discipline,
with an interest in reducing the barriers to data sharing and re-use and
who agrees to RDA’s guiding principles of:
◦ Openness
◦ Consensus
◦ Balance
◦ Harmonization
◦ Community-driven
◦ Non-profit and technology-neutral
Individual Membership is free @
https://www.rd-alliance.org/user/register
rd-alliance.org/get-involved.html
WWW.RD-ALLIANCE.ORG
@RESDATALL
CC BY-SA 4.0

6. Why Join RDA as an Individual
Member?
Individual Member Benefits
◦ Contribute to acceleration of data infrastructure development
◦ Work and share experiences with collaborators throughout the
world
◦ Access to extraordinary network of colleagues with various levels
of experience, perspectives and practices
◦ Gain greater expertise in data science regardless of whether one is
a student, early or seasoned career professional
◦ Enhance the quality and effectiveness of personal work and
activities
◦ Improve one’s competitive advantage professionally and
positioning oneself for leadership within the broader research
community
rd-alliance.org/get-involved/individual-membership.html
Individual RDA Members 6,193
WWW.RD-ALLIANCE.ORG
@RESDATALL
CC BY-SA 4.0

7. RDA worldwide growth
rd-alliance.org/about-rda
WWW.RD-ALLIANCE.ORG
@RESDATALL
CC BY-SA 4.0
130 Countries
130 Countries
Total RDA community members 6193

8. Who is RDA?
rd-alliance.org/about-rda
WWW.RD-ALLIANCE.ORG
@RESDATALL
CC BY-SA 4.0

9. Why Join RDA as an
Organisational Member?
Organisational Member Benefits
◦ Provide an organizational perspective on the work of RDA and ability to
influence RDA’s direction
◦ Assist in implementation & adoption of RDA Recommendations &
Outputs
◦ Participate in all RDA Organizational Forums
◦ Receive regular updates on the work of the RDA
◦ Attend Organizational Assembly meetings and vote on proposed policies
for consideration by the RDA Council and for members of the
Organizational Advisory Board
◦ Provide advice to RDA Council through the Organizational Advisory Board
◦ Be recognized on the RDA Website and at RDA Meetings as a supporter of
data interoperability
rd-alliance.org/get-involved/organisational-membership
43 Organisational & 8 Affiliate Members
WWW.RD-ALLIANCE.ORG
@RESDATALL
CC BY-SA 4.0

10. Organisational & Affiliate Members
rd-alliance.org/get-involved/organisational-membership
CC BY-SA 4.0
WWW.RD-ALLIANCE.ORG
@RESDATALL
43 Organisational
Members
8 Affiliate
Members

11. Domain Science - focused
Agrisemantics WG
BioSharing Registry WG
Fisheries Data Interoperability WG
On-Farm Data Sharing (OFDS) WG
Rice Data Interoperability WG
Wheat Data Interoperability WG
Agricultural Data IG (IGAD)
Biodiversity Data Integration IG
Chemistry Research Data IG
Digital Practices in History and Ethnography IG
Geospatial IG
Global Water Information IG
Health Data IG
Linguistics Data Interest Group
Mapping the Landscape IG
Marine Data Harmonization IG
Quality of Urban Life IG
RDA/CODATA Materials Data, Infrastructure & Interoperability IG
Research data needs of the Photon and Neutron Science
community IG
Small Unmanned Aircraft Systems’ Data IG
Structural Biology IG
Weather, Climate and air quality IG
RDA Interest (IG) & Working Groups (WG) by
Focus (1)
rd-alliance.org/groups
Community Needs - focused
 Certification and Accreditation for Data Science Training
and Education WG
 RDA/CODATA Summer Schools in Data Science and Cloud
Computing in the Developing World WG
 Teaching TDM on Education and Skill Development WG
 Archives & Records Professionals for Research Data IG
 Data for Development IG
 Development of Cloud Computing Capacity and Education in
Developing World Research IG
 Early Career and Engagement IG
 Education and Training on handling of research data IG
 Ethics and Social Aspects of Data IG
 International Indigenous Data Sovereignty IG
WWW.RD-ALLIANCE.ORG
@RESDATALL
CC BY-SA 4.0
Total 88 groups:
30 Working Groups & 58 Interest Groups

12. Reference and Sharing - focused
 Data Citation WG
 Data Description Registry Interoperability WG
 Data Security and Trust WG
 Empirical Humanities Metadata WG
 International Materials Resource Registries WG
 Provenance Patterns WG
 QoS-DataLC Definitions WG
 RDA / WDS Publishing Data Bibliometrics WG
 Repository Core Description WG
 Research Data Collections WG
 Research Data Repository Interoperability WG
 Data Discovery Paradigms IG
 National Data Services IG
 RDA/CODATA Legal Interoperability IG
 Reproducibility IG
 Sharing Rewards and Credit (SHARC) IG
Partnership Groups
 RDA / TDWG Metadata Standards for attribution of
physical and digital collections stewardship WG
 RDA/WDS Scholarly Link Exchange Working Group
 ELIXIR Bridging Force IG
 RDA/NISO Privacy Implications of Research Data Sets IG
 RDA/WDS Publishing Data IG
rd-alliance.org/groups
RDA Interest (IG) & Working Groups (WG) by
Focus (2)
WWW.RD-ALLIANCE.ORG
@RESDATALL
CC BY-SA 4.0
Total 88 groups:
30 Working Groups & 58 Interest Groups

13. Data Stewardship and Services – focused
 Brokering Framework WG
 DMP Common Standards WG
 Exposing Data Management Plans WG
 RDA / WDS Publishing Data Workflows WG
 WDS/RDA Assessment of Data Fitness for Use WG
 Active Data Management Plans IG
 Data in Context IG
 Data Rescue IG
 Data Versioning IG
 Domain Repositories IG
 From Observational Data to Information IG
 Libraries for Research Data IG
 Long tail of research data IG
 Physical Samples and Collections in the Research Data
Ecosystem IG
 Preservation e-Infrastructure IG
 Preservation Tools, Techniques, and Policies IG
 RDA/WDS Certification of Digital Repositories IG
 RDA/WDS Publishing Data Cost Recovery for Data Centres IG
 Repository Platforms for Research Data IG
 Research Data Provenance IG
 Virtual Research Environments IG
Base Infrastructure – focused
 Array Database Assessment WG
 Data Type Registries WG
 Metadata Standards Catalog WG
 PID Kernel Information WG
 Data Fabric IG
 Data Foundations and Terminology IG
 Disciplinary Interoperability Framework IG
 Big Data IG
 Brokering IG
 Federated Identity Management IG
 Metadata IG
 PID IG
 Software Source Code IG
 Vocabulary Services IG
rd-alliance.org/groups
RDA Interest (IG) & Working Groups (WG) by
Focus (3)
WWW.RD-ALLIANCE.ORG
@RESDATALL
CC BY-SA 4.0
Total 88 groups:
30 Working Groups & 58 Interest Groups

14. RDA Recommendations that
make data work
rd-alliance.org/recommendations-outputs
Adopted code, policy, specifications, standards, or practices
that enable data sharing
“Harvestable” efforts for which 12-18 months of work can
eliminate a roadblock
Efforts that have substantive applicability to groups within
the data community but may not apply to all
Efforts that can start today
WWW.RD-ALLIANCE.ORG
@RESDATALL
CC BY-SA 4.0
“Create - Adopt - Use”
18 flagship recommendations & outputs with over
75 cases of adoption in different domains, organisations and countries

15. THE RDA OUTCOMES LEGEND
Recommendations: are the flagship outputs of RDA. They are
RDA’s equivalent of the “specifications” or “standards” that
other organisations create and endorse. The process for
creating and endorsing these is already defined.
Supporting Outputs: are the outputs of RDA WGs and IGs that
are fruit of RDA work, but are not necessarily adoptable
bridges. “Upon request”, these sort of outputs go through a
community comment period and if no major objections or gaps
are identified they get the RDA Brand.
Other Outputs: include workshop reports, published articles,
survey results, etc. Anything a WG or IG wants to register and
report. Upon request, these are published and discoverable on
the RDA website but have no level of endorsement.
RDA Recommendations & Outputs
rd-alliance.org/recommendations-and-outputs/all-recommendations-
and-outputs
WWW.RD-ALLIANCE.ORG
@RESDATALL
CC BY-SA 4.0

16. Data Foundation & Terminology: a model for data in the
registered domain.
PID Information Types: a common protocol for providers
and users of persistent ID services worldwide.
Data Type Registries: allowing humans and machines to
act on unknown, but registered, data types.
Practical Policy: defining best practices of how to deal with
data automatically and in a documented way with
computer actionable policy.
Metadata standards directory: Community curated
standards catalogue for metadata interoperability
RDA Recommendations & Outputs
rd-alliance.org/recommendations-and-outputs/all-recommendations-and-outputs
WWW.RD-ALLIANCE.ORG
@RESDATALL
CC BY-SA 4.0

17. Data Citation: defining mechanisms to reliably cite dynamic data
Data Description Registry Interoperability solutions enabling cross
platform discovery based on existing open protocols and standards
Wheat Data Interoperability impacting the discoverability,
reusability and interoperability of wheat data by building a
common framework for describing, representing linking and
publishing wheat data
Brokering Governance WG: Sustainable Business Models for
Brokering Middleware to support Research Interoperability
RDA/CODATA Summer Schools in Data Science and Cloud
Computing in the Developing World WG: A framework to run a
series of Summer Schools in Data Science and data sharing in low
and middle income countries (LMICs)
RDA Recommendations & Outputs
WWW.RD-ALLIANCE.ORG
@RESDATALL
CC BY-SA 4.0
rd-alliance.org/recommendations-and-outputs/all-recommendations-and-outputs

18. Repository Audit and Certification DSA–WDS: A convergent DSA-WDS
certification standard to help eliminate duplication of effort, increase
certification procedure coherence and compatibility thus benefitting
researchers, data managers, librarians and scientific communities.
RDA/WDS Publishing Data Bibliometrics: improved research data metrics and
corresponding services, with the final goal of increasing the overall availability
and quality of citations and research data itself.
RDA/WDS Publishing Data Workflows: enhance the possibilities for greater
discoverability and a more efficient and reliable reuse of research data
benefitting other stakeholders like publishers, libraries and data centres.
RDA/WDS Publishing Data Services: A universal interlinking service between
data and the scientific literature. The Scholix initiative a high level
interoperability framework for exchanging information about the links
between scholarly literature and data. It aims to build an open information
ecosystem to understand systematically what data underpins literature and
what literature references data.
RDA Recommendations & Outputs
rd-alliance.org/recommendations-and-outputs/all-recommendations-
and-outputs
WWW.RD-ALLIANCE.ORG
@RESDATALL
CC BY-SA 4.0
rd-alliance.org/recommendations-and-outputs/all-recommendations-and-outputs

19. 23 Things: Libraries For Research Data An overview of practical, free,
online resources and tools that users can immediately take advantage
of to incorporate research data management into the practice of
librarianship.
RDA Recommendations & Outputs
rd-alliance.org/recommendations-and-outputs/all-recommendations-
and-outputs
WWW.RD-ALLIANCE.ORG
@RESDATALL
CC BY-SA 4.0
Legal Interoperability of Research Data Principles and Implementation
Guidelines: a set of principles and practical implementation guidelines
offered as high-level guidance to all members of the research
community —the funders, managers of data centers, librarians,
archivists, publishers, policymakers, university administrators, individual
researchers, and their legal counsel.
Matrix of use cases and functional requirements for research data
repository platform Based on use cases, the matrix describes forty-
four functional requirements identified for research data repository
platforms and provides a score identifying relative importance.
rd-alliance.org/recommendations-and-outputs/all-recommendations-and-outputs
BioSharing Recommendations Data repositories, standards and
policies in the life, biomedical and environmental sciences

20. Adoption & Implementation
“Solving the problem must include adopters in the process, to ensure
that real problems are addressed. Open problem solving is the key.”
RDA Recommendations and Outputs take the form of technical
specifications, code, policies or practices, harmonized standards or
reference models. In the widest sense these aim for:
Greater data sharing, exchange, interoperability, usability and re-usability;
Greater discoverability of research data sets;
Better management, stewardship, and preservation of research data;
New data standards or harmonization of existing standards.
75 Adoption Cases
https://www.rd-alliance.org/recommendations-
outputs/adoption-recommendations
Find out how you can become an Adopter
https://www.rd-alliance.org/recommendations-and-outcomes/become-rda-adopter
Addressing data challenges
https://www.rd-alliance.org/recommendations-and-
outputs/all-recommendations-and-outputs
rd-alliance.org/recommendations-and-outputs/all-
recommendations-and-outputs
WWW.RD-ALLIANCE.ORG
@RESDATALL CC BY-SA 4.0
RDA Adoption & Implementation
Stories - Tell us yours!

21. Call for Supporting and Other
RDA Outputs
https://rd-alliance.org/call-supporting-and-other-rda-outputs
If your group has produced something that you
would like to share with the broader community,
please send it to enquiries@rd-alliance.org and
indicate whether you would like it to be considered
as a ‘Supporting’ or ‘Other’ output.
rd-alliance.org/call-supporting-and-other-rda-outputs
WWW.RD-ALLIANCE.ORG
@RESDATALL
CC BY-SA 4.0

22. What are Plenary Meetings?
Organised around the world every 6 months
exciting & productive events bringing together a
unique community of data science professionals, from
multiple disciplines and domains;
help move the community forward in creating
tangible deliverables that improve data sharing across
disciplines, technologies, and countries;
heart of the plenaries are working meetings of RDA
Working & Interest groups and new potential groups
through Birds of a Feather meetings
presentation of new Outputs and Adoption cases
CC BY-SA 4.0
WWW.RD-ALLIANCE.ORG
@RESDATALLrd-alliance.org/plenaries

23. RDA Plenary Meetings: benefits of attending
Exchange knowledge, share discoveries, discuss
barriers and potential solutions
Expand your network and meet new
committed and passionate data science
professionals, working in multiple disciplines
Contribute to acceleration of data
infrastructure development
Learn about new trends, strategies, research
developments, directions and policies
WWW.RD-ALLIANCE.ORG
@RESDATALL
CC BY-SA 4.0
rd-alliance.org/plenaries

24. rd-alliance.org/plenaries/rda-tenth-plenary-meeting-
montreal-canada CC BY-SA 4.0
WWW.RD-ALLIANCE.ORG
@RESDATALL
73 Breakout meetings
of which 14 Working Groups
of which 37 Interest Groups
of which 6 Joint Working & Interest Groups
of which 16 Birds of a Feather
6 Outputs presented / 1 Final Release
60 Posters
Over 430 participants from 30 countries
Increased female participation 44%
the highest sofar

25. Moving Towards Plenary 11: Berlin!
CC BY-SA 4.0
WWW.RD-ALLIANCE.ORG
@RESDATALLrd-alliance.org/plenaries
To find out more visit: https://www.rd-alliance.org/plenaries/rda-eleventh-
plenary-meeting-berlin-germany
From Data to Knowledge

26. Looking Forward to Plenary 12: Botswana
CC BY-SA 4.0
WWW.RD-ALLIANCE.ORG
@RESDATALLrd-alliance.org/plenaries
Co-organised within the framework of
International Data Week with CODATA & WDS
To find out more visit: https://www.rd-alliance.org/plenaries/rda-twelfth-plenary-meeting-
part-international-data-week-2018-gaborone-botswana
Digital Frontiers of Global Science

27. RDAin a Nutshell
WWW.RD-ALLIANCE.ORG/
@RESDATALL
RDA Global
Email - enquiries@rd-alliance.org
Web - www.rd-alliance.org
Twitter - @resdatall
LinkedIn -
www.linkedin.com/in/ResearchDataAlliance
Slideshare -
http://www.slideshare.net/ResearchDataAlliance
RDA Europe
Email - info@europe.rd-alliance.org
Twitter - @RDA_Europe
RDA US
Twitter - @RDA_US